Title:	A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
Authors:	Plácido, Alexandra Silva, Frederico Ferreira da Leite, José Roberto de Souza de Almeida Santos Álvarez, Noemí de los Delerue Matos, Cristina
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-2706-7777
metadata.dc.contributor.affiliation:	Instituto Politécnico do Porto, Instituto Superior de Engenharia do Porto, REQUIMTE/LAQV Universidade do Porto, i3S, Instituto de Investigação e Inovação em Saúde Universidade do Porto, Instituto de Biologia Molecular e Celular Universidade de Brasília, Campus Darcy Ribeiro, Faculdade de Medicina, Área Morfologia Universidad de Oviedo, Departamento de Química Física y Analítica
Assunto::	Alimentos geneticamente modificados Alimentação Alimentação dos animais
Issue Date:	26-Feb-2023
Publisher:	Plos One
Citation:	PLÁCIDO, Alexandra et al. A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed. Plos One, [S.l.], 26 fev. 2020. DOI: https://doi.org/10.1371/journal.pone.0229659. Disponível em: https://doi.org/10.1371/journal.pone.0229659. Acesso em: 19 mar. 2024.
Abstract:	The cultivation of genetically modified organisms (GMO) continues to expand worldwide. Still, many consumers express concerns about the use of GMO in food or feed, and many countries have legislated on labelling systems to indicate the presence of GMO in commer cial products. To deal with the increased number of GMO events and to address related reg ulations, alternative detection methods for GMO inspection are required. In this work, a genosensor based on Surface Plasmon Resonance under continuous flow was developed for the detection and quantification of a genetically modified soybean (event GTS 40-3-2). In a single chip, the simultaneous detection of the event-specific and the taxon-specific sam ples were achieved, whose detection limits were 20 pM and 16 pM, respectively. The repro ducibility was 1.4%, which supports the use of the chip as a reliable and cost-effective alternative to other DNA-based techniques. The results indicate that the proposed method is a versatile tool for GMO quantification in food and feed samples.
metadata.dc.description.unidade:	Faculdade de Medicina (FM)
Licença::	© 2020 Plácido et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI:	https://doi.org/10.1371/journal.pone.0229659
Appears in Collections:	Artigos publicados em periódicos e afins

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.